Urgent 1

DataCollection.docx

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Dear Professor,

I read your feedback about my post, so I did it over to show you that I am not copying anything off the internet. I do use the internet as resources. However, I was not able to post the assignment for you to view because it was a late post. I am not expecting credit for the Data Collection assignment. Just want to show my work. Sorry about the confusion.

HIGH SCHOOL MATHEMATICS PERFORMANCE VS THE COLLEGE STATISTICS PERFORMANCE

In this project, I would like to ascertain whether there exists a relationship between a student’s entry points in college and the performance of the student in college. The question that the study seek to answer is, Does the performance of a student in college depends on the students’ high school performance?

METHODS OF THE STUDY

The data of this study were collected using a questionnaire. The questionnaire had three parts on gender, the response based on the high school score in mathematics and the last statistics exam score. The data below was collected from 30 students within the college and recorded in table 1

ID	GENDER	HIGH SCHOOL (X)	COLLEGE (Y)
1	FEMALE	78	65
2	FEMALE	82	88
3	FEMALE	58	38
4	FEMALE	77	77
5	MALE	73	86
6	MALE	73	64
7	MALE	75	78
8	FEMALE	60	69
9	MALE	88	84
10	MALE	89	68
11	FEMALE	57	38
12	FEMALE	65	70
13	FEMALE	73	89
14	MALE	81	75
15	MALE	65	60
16	MALE	70	77
17	FEMALE	77	70
18	MALE	77	70
19	MALE	91	88
20	FEMALE	80	72
21	MALE	82	80
22	MALE	60	62
23	MALE	54	68
24	MALE	70	53
25	MALE	65	45
26	FEMALE	90	96
27	FEMALE	74	67
28	FEMALE	64	72
29	FEMALE	59	65
30	FEMALE	86	89

STATISTICAL METHODS

Simple statistical techniques were used to tabulate and analyze the data. The data was analyzed by calculating the measures of central tendencies, measures of dispersions and, measures of location and the correlation between the high score and the college score were analyzed. A scatter plot with a regression line was fitted.

LIMITATION OF THE STUDY

Whereas the confidentiality of the respondents was considered as the students were given random ID numbers, some students may have given inaccurate result and based on this, the data was analyzed at the confidence level of 95%.

FINDINGS

The study was designed to find out if there is a relationship between the entry score of the students and their performance in college. The data on the mathematics performance in high school and the statistics performance in college were collected and recorded in table1 above. The data was analyzed using Excel software. The finding of the descriptive statistics was as shown below. The average performance in high School and college are almost the same showing there is no significant variation in the performance in High school and College.

DESCRIPTIVE STATISTICS

	HIGH SCHOOL (X)	COLLEGE (Y)

Mean	73.1	70.767
Standard Error	1.942	2.627
Median	73.5	70
Mode	77	70
Standard Deviation	10.639	14.390
Sample Variance	113.20	207.082
Range	37	58
Minimum	54	38
Maximum	91	96
Sum	2193	2123
Count	30	30

CORRELATION

	HIGH SCHOOL	COLLEGE
HIGH SCHOOL	1	0.68
COLLEGE	0.68	1

The correlation coefficient between High school and college is r=0.68 showing a positive and moderate but a significant relationship.

The linear relationship between the variables was determined by the equation y = 0.9199x + 3.5232.

A scatter plot of the college Mathematics points vs High School statistics Points

CONCLUSION

Based on these findings, it can be concluded that:

There IS significant relationship between the high school performance and the college performance in mathematics and Statistics respectively.

COLLEGE PERFORMANCES VS HIGH SCHOOL PERFORMANCE

COLLEGE (Y) 78 82 58 77 73 73 75 60 88 89 57 65 73 81 65 70 77 77 91 80 82 60 54 70 65 90 74 64 59 86 65 88 38 77 86 64 78 69 84 68 38 70 89 75 60 77 70 70 88 72 80 62 68 53 45 96 67 72 65 89

High School Points (%)

College Points (%)